DIGITIMES observes that humanoid robots require field programmable gate arrays (FPGAs) to execute multi-axis motor control for diverse tasks and to flexibly adjust designs according to different application scenarios. Humanoid robots possess intricate and large-scale mechanisms to perform complex movements, and FPGAs can effectively support multi-axis motor control through low-latency and low-power design.
As humanoid robots adopt multimodal large language models (LLMs) as their decision-making core, FPGAs can also flexibly modify chip designs when the models are fine-tuned for various applications. AMD and Intel are representative FPGA suppliers in this field.
Compared to industrial robots, humanoid robots can undertake a wider variety of tasks across manufacturing, service, and household environments. Evolving from single-task operations to multitasking capabilities, humanoid robots require greater mobility and autonomous planning abilities.
From single-task to multitasking: Humanoid robots see major upgrades
Chart 1: Upgrades in humanoid robots' mobility vs. autonomous planning capabilities
Chip upgrades are key to efficient, high-performance humanoid motion control
Chart 3: Overview of the internal modules of an industrial robot controller
Chart 4: Control chip requirements between humanoid and industrial robots
FPGAs are vital for humanoid motion control, enabling multi-axis motor control
AMD and Intel offer extensive FPGA product lines for robotic motion control
